Staff, Data Scientist

Position Summary

What you'll do...

What you'll do...

• Play an important role in developing and scaling data science solutions to achieve outstanding business outcomes for Marketplace.
• Work with a team of data scientists and machine learning engineers to develop, implement, and test scalable solutions for marketing intelligence domain.
• Consult with business stakeholders across Marketplace functions regarding algorithm-based recommendations and develop these into business actions.
• Mentor junior members and individually execute multiple projects at the same time.
• Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up-to-date with the state-of-the-art in data science research.
• Execute multiple projects at the same time.
• Be a thought-leader to develop algorithm-based recommendations into business actions.
• Manage the continuous improvement of data science and machine learning led initiatives by following industry best practices and staying up-to-date with the state-of-the-art in data science research.

Position Requirements

• Very good knowledge of the foundations of machine learning and statistics and has made significant original contributions to the area in practice.
• Solid experience working with state-of-the-art agentic, Gen AI, supervised and unsupervised machine learning algorithms on real-world problems, preferably in ecommerce domain.
• Strong Python coding skills and able to work with at least one other programming language such as Java/Scala.
• Expertise in SQL/Hive and ability to work with Spark.
• Extensive experience building and deploying state of the art models (classic ML and Deep learning).
• Strong ability to understand the business and good stakeholder management capabilities and has mentored data scientists in developing ML solutions.

Qualifications

• PhD with > 6 years of experience / Master’s degree with > 8 years of experience.
• Educational qualifications should be preferably in Computer Science or a related area.
• Experience should be relevant to the role.
• Good to have: Experience in ecommerce domain. Demonstrated success in data science platforms like Kaggle.

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Benefits

• Beyond our great compensation package, you can receive incentive awards for your performance.
• Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
• Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.

Minimum Qualifications

• Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
• Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
• 6 years' experience in an analytics or related field.

Preferred Qualifications

• Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

Primary Location

10900 Ne 4th St, Bellevue, WA 98004, United States of America

Additional Compensation

The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock